Detecting anomalous behavior of students in examination hall is a crucial subject in surveillance. Factors such as seating arrangement and strength make this task bit more challenging. Video surveillance systems are one of the advanced technologies to detect the Anomalous behavior of students in the exam hall. This mode works well when used with a high density camera and to focus on everyone. This paper surveys methods to detect the abnormal behavior of students in examination hall which can avoid cheating in the hall. Anomalous behavior detection systems using video analytics act against threats before they become critical by sending alerts to the officials. These systems also help to avoid a supervisor in the hall. The system also identifies the abnormal examinees in the exam hall. Reduces the work of an invigilator and provides a proof for cheating.